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The porcine translational research database: a manually curated, genomics and proteomics-based research resource

Overview of attention for article published in BMC Genomics, August 2017
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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2 X users
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1 patent

Citations

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49 Dimensions

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48 Mendeley
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Title
The porcine translational research database: a manually curated, genomics and proteomics-based research resource
Published in
BMC Genomics, August 2017
DOI 10.1186/s12864-017-4009-7
Pubmed ID
Authors

Harry D. Dawson, Celine Chen, Brady Gaynor, Jonathan Shao, Joseph F. Urban

Abstract

The use of swine in biomedical research has increased dramatically in the last decade. Diverse genomic- and proteomic databases have been developed to facilitate research using human and rodent models. Current porcine gene databases, however, lack the robust annotation to study pig models that are relevant to human studies and for comparative evaluation with rodent models. Furthermore, they contain a significant number of errors due to their primary reliance on machine-based annotation. To address these deficiencies, a comprehensive literature-based survey was conducted to identify certain selected genes that have demonstrated function in humans, mice or pigs. The process identified 13,054 candidate human, bovine, mouse or rat genes/proteins used to select potential porcine homologs by searching multiple online sources of porcine gene information. The data in the Porcine Translational Research Database (( http://www.ars.usda.gov/Services/docs.htm?docid=6065 ) is supported by >5800 references, and contains 65 data fields for each entry, including >9700 full length (5' and 3') unambiguous pig sequences, >2400 real time PCR assays and reactivity information on >1700 antibodies. It also contains gene and/or protein expression data for >2200 genes and identifies and corrects 8187 errors (gene duplications artifacts, mis-assemblies, mis-annotations, and incorrect species assignments) for 5337 porcine genes. This database is the largest manually curated database for any single veterinary species and is unique among porcine gene databases in regard to linking gene expression to gene function, identifying related gene pathways, and connecting data with other porcine gene databases. This database provides the first comprehensive description of three major Super-families or functionally related groups of proteins (Cluster of Differentiation (CD) Marker genes, Solute Carrier Superfamily, ATP binding Cassette Superfamily), and a comparative description of porcine microRNAs.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 17%
Student > Ph. D. Student 8 17%
Student > Bachelor 6 13%
Student > Master 5 10%
Student > Doctoral Student 3 6%
Other 8 17%
Unknown 10 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 23%
Veterinary Science and Veterinary Medicine 5 10%
Medicine and Dentistry 5 10%
Biochemistry, Genetics and Molecular Biology 5 10%
Computer Science 3 6%
Other 8 17%
Unknown 11 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 August 2022.
All research outputs
#6,258,056
of 23,151,189 outputs
Outputs from BMC Genomics
#2,648
of 10,712 outputs
Outputs of similar age
#98,644
of 317,657 outputs
Outputs of similar age from BMC Genomics
#50
of 205 outputs
Altmetric has tracked 23,151,189 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 10,712 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,657 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 205 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.